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Mariano Felice

Grammatical error detection and correction in non-native English text

Departments and Institutes

ALTA Institute:
Computer Laboratory:

Research Interests

I am a PhD student in the Natural Language and Information Processing group (Computer Laboratory, University of Cambridge), working under the supervision of Prof Ted Briscoe. 

My general area of research is grammatical error detection and correction for learners of English as a second language. In particular, I am exploring ways of exploiting information from written scripts, improving current approaches and replicating errors artificially to augment available corpora. I am also working actively on improving current evaluation approaches.


  • Language testing and assessment
  • Language teaching
  • Natural Language Processing


Key Publications

  • Mariano Felice and Ted Briscoe. 2015. Towards a standard evaluation method for grammatical error detection and correction. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2015), Denver, CO. Association for Computational Linguistics. (To appear) [pdf | bib | software]
  • Mariano Felice and Zheng Yuan. 2014. To err is human, to correct is divine. In XRDS: Crossroads, The ACM Magazine for Students, vol. 21 num. 1, pp. 22-27, New York, NY. ACM. [publisher's website | bib]
  • Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis and Ekaterina Kochmar. 2014. Grammatical error correction using hybrid systems and type filtering. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning (CoNLL 2014): Shared Task, pp. 15-24, Baltimore, MD. Association for Computational Linguistics. [pdf | bib]
  • Mariano Felice and Zheng Yuan. 2014. Generating artificial errors for grammatical error correction. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), pp. 116-126, Gothenburg, Sweden. Association for Computational Linguistics. [pdf | bib]